PAR Technology is looking for an AI Engineer to design and build intelligent, multi-step AI pipelines using LLMs, tools, and data. Your work will transform restaurant data and AI capabilities into a meaningful, differentiating part of the user experience.
What You'll Do
- Design and build user-facing AI capabilities that simplify decision-making, surface insights, and enable faster action for operational teams.
- Create and maintain multi-step LLM workflows (chains) that combine prompts, tools, and data to execute complex tasks.
- Use retrieval-augmented generation (RAG) to combine internal data with LLMs and generate context-aware, trustworthy results.
- Deliver features that set PAR apart from the competition and provide tangible value to users.
What We're Looking For
- 5+ years of experience as a software engineer, ideally within a SaaS or data-centric product environment.
- Proficiency with LLM platforms and APIs (e.g., OpenAI, Azure OpenAI).
- Familiarity with prompt engineering, embedding models, and vector databases.
- Experience designing and implementing multi-step AI workflow chains (e.g., LangChain, Semantic Kernel, custom pipelines).
- Strong data skills, including proficiency with SQL and structured datasets in production.
- Understanding of cloud-based orchestration tools like Azure Data Factory or equivalents.
- Experience taking AI features from prototype to production with attention to scalability, cost-efficiency, and observability.
- Strong communication skills and ability to work cross-functionally with product, engineering, and data teams.
- Recognition as an internal driver of AI strategy and implementation, setting standards and best practices for trustworthy, scalable AI.
Nice to Have
- Experience working with data-rich applications, especially in retail, hospitality, or restaurant operations.
- Exposure to data visualization, analytics platforms, or reporting tools.
- Experience with traditional machine learning workflows (e.g., scikit-learn, TensorFlow, PyTorch).
Technical Stack
- LLM platforms and APIs (OpenAI, Azure OpenAI)
- Prompt engineering, Embedding models, Vector databases
- AI workflow chains (LangChain, Semantic Kernel)
- SQL
- Cloud-based orchestration tools (Azure Data Factory)
Team & Environment
You will report to the Director, Software Engineering.
Work Mode
This role is local-country, with a preference for candidates based in the United States.
PAR is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
